القائمة
Record significant architecture or execution decisions so their reasoning survives the session. Trigger on requests like record this decision, write an ADR, capture the trade-off, or supersede the old decision.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | adr-log |
| description | Record significant architecture or execution decisions so their reasoning survives the session. Trigger on requests like record this decision, write an ADR, capture the trade-off, or supersede the old decision. |
Capture one expensive-to-rediscover decision so the chosen path, rejected alternatives, and revisit conditions survive beyond the current chat session.
$product-council or $spec-bundle instead. Read /Users/nick/.codex/skills/adr-log/references/storage-rules.md only when you need the storage surface and /Users/nick/.codex/skills/adr-log/references/entry-template.md only when you need the exact entry shape.$issue-control-loop.Audit and improve a public GitHub repository's discoverability and any linked canonical site without confusing repository presentation with website SEO. Use for repository SEO, GitHub discoverability, topics/homepage/README optimization, GitHub Pages SEO, AEO, or agent-friendly public documentation.
Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.
Analyze and reshape spreadsheet, CSV, or TSV data with `pandas` and stable output files. Use when the job is aggregation, filtering, joins, metrics, or tabular transformations rather than workbook-style editing.
Create or edit `.xlsx` workbooks while preserving formulas, references, formatting, and layout. Use when workbook integrity matters more than raw data analysis.
Produce a fast plain-text transcript with the bundled CLI using the light transcription model. Use when speaker diarization is not needed.
Produce a speaker-aware transcript with diarization and optional known-speaker hints using the bundled CLI. Use when the user explicitly needs speaker labels.